Dataset: Dataset: The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries


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8
15.08 MB
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Published
Feb 2, 2025
1 year ago
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8 files across 1 type(s)

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Published
Published: 1 year ago
Views
297
Downloads
1
DOI
10.13011/m3-t819-4p02
License
Attribution License (ODC-By)
Total Size
15.08 MB
Authors
MC Vishwas Goel Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109 Kevin Masel Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109 Kuan-Hung Chen Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109 Ammar Safdari Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109 Neil P. Dasgupta Department of Materials Science and Engineering and Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109 MC Katsuyo Thornton Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA, Zip – 48109
Description

This dataset contains the input functions and processed results for the manuscript titled "The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries" published in Energy Storage Materials (https://doi.org/10.1016/j.ensm.2025.104053).

Figure_1_data.xlsx contains the data for the voltage (vs. Li/Li+) vs. capacity from simulation and the experiments for the hard carbon anode and Gr-50 anode for various rates.

Figure_2_data.xlsx contains the data for voltage (vs. Li/Li+) and the reaction current density for 4C charging for the graphite anode and Gr-50 anode.

Figure_3_data.xlsx contains the data for the state of charge (SOC) vs. open circuit voltage (OCV) for the graphite anode and Gr-50 anode.

Figure_4_data.xlsx contains the data for the fraction of the applied current density contributed by the peaks in the RCD, the homogeneity indicator, and the second Damköhler number vs. SOC.

Figure_6_data.xlsx contains the data for the accessible SOC for the 32 simulations conducted with various combinations of parameters.

Figure_7_data.xlsx contains the data for the second Damköhler number vs. SOC for the 32 simulations conducted with various combinations of parameters.

Figure_8_data.xlsx contains the data for (a) the time-averaged value of the second Damköhler number vs. the (center-to-center) spacing of the channel in an anode with a HOLE architecture; and (b) accessible SOC vs the (center-to-center) spacing, and its discrete derivative.

SI_ENSM_fig_data.xlsx contains the data for figures in the Supporting Information, including the concentration-dependent parameters and OCVs for anode materials and electrolyte properties used in the simulations. For scaler-valued properties, please see the tables provided in the article.

Excel 8
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Dataset citation data unavailable.
Paper
The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries
Vishwas Goel, Kevin Masel, Kuan-Hung Chen, Ammar Safdari, Neil P. Dasgupta, Katsuyo Thornton
Energy Storage Materials 2025 10.1016/j.ensm.2025.104053
6
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Related Papers
The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries
Vishwas Goel, Kevin Masel, Kuan-Hung Cheng, Ammar Safdari, Neil P. Dasgupta, Katsuyo Thornton, The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries, Energy Storage Materials, 2025, 104053.
View paper
Funding
The authors acknowledge support from the Office of Energy Efficiency and Renewable Energy (EERE) of the U.S. Department of Energy under award number DE-EE0008362. The authors also acknowledge the support from the Mechano-Chemical Understanding of Solid Ion Conductors (MUSIC) Energy Frontier Research Center funded by the US Department of Energy (DOE), Office of Science, Basic Energy Sciences under award no. DE-SC0023438. The computational resources used in this work were provided by the College of Engineering CAEN and Advanced Research Computing (ARC) at the University of Michigan.